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I'm a data engineer with experience across AWS, Azure, and GCP, designing and optimizing cloud-based data pipelines for batch and real-time processing. I specialize in ETL/ELT workflows, data modeling with dbt and SQL, and ensuring data quality through validation frameworks like Great Expectations. I collaborate with cross-functional teams to deliver reliable data for reporting and analytics, automate data validation and deployments with CI/CD tools (Jenkins, GitHub Actions, Azure DevOps), and implement security and governance practices. I'm passionate about turning complex data into actionable insights that drive business decisions.…I'm a data engineer with experience across AWS, Azure, and GCP, designing and optimizing cloud-based data pipelines for batch and real-time processing. I specialize in ETL/ELT workflows, data modeling with dbt and SQL, and ensuring data quality through validation frameworks like Great Expectations. I collaborate with cross-functional teams to deliver reliable data for reporting and analytics, automate data validation and deployments with CI/CD tools (Jenkins, GitHub Actions, Azure DevOps), and implement security and governance practices. I'm passionate about turning complex data into actionable insights that drive business decisions.

Nikesh Shrestha

Data Scientist, Data Analyst, Full Stack Developer, +2

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I'm a data engineer with experience across AWS, Azure, and GCP, designing and optimizing cloud-based data pipelines for batch and real-time processing. I specialize in ETL/ELT workflows, data modeling with dbt and SQL, and ensuring data quality through validation frameworks like Great Expectations. I collaborate with cross-functional teams to deliver reliable data for reporting and analytics, automate data validation and deployments with CI/CD tools (Jenkins, GitHub Actions, Azure DevOps), and implement security and governance practices. I'm passionate about turning complex data into actionable insights that drive business decisions.…I'm a data engineer with experience across AWS, Azure, and GCP, designing and optimizing cloud-based data pipelines for batch and real-time processing. I specialize in ETL/ELT workflows, data modeling with dbt and SQL, and ensuring data quality through validation frameworks like Great Expectations. I collaborate with cross-functional teams to deliver reliable data for reporting and analytics, automate data validation and deployments with CI/CD tools (Jenkins, GitHub Actions, Azure DevOps), and implement security and governance practices. I'm passionate about turning complex data into actionable insights that drive business decisions.

Available to hire

I’m a data engineer with experience across AWS, Azure, and GCP, designing and optimizing cloud-based data pipelines for batch and real-time processing. I specialize in ETL/ELT workflows, data modeling with dbt and SQL, and ensuring data quality through validation frameworks like Great Expectations.

I collaborate with cross-functional teams to deliver reliable data for reporting and analytics, automate data validation and deployments with CI/CD tools (Jenkins, GitHub Actions, Azure DevOps), and implement security and governance practices. I’m passionate about turning complex data into actionable insights that drive business decisions.

Skills

Experience Level

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Language

English

Fluent

Work Experience

Data Engineer/ Data Analyst at American Express

January 1, 2024 - Present

Designed and implemented data validation frameworks for ETL/ELT pipelines, improving data accuracy by 25% and ensuring data integrity across multiple data sources. Automated data validation workflows and integrated them into CI/CD pipelines, reducing manual effort by 40% and accelerating deployment cycles. Collaborated with data engineers, analysts, and business stakeholders to troubleshoot data issues and improve data reliability for reporting and analytics. Validated REST API data flows to ensure accurate data ingestion, data consistency, and system integration reliability.

Data Engineer at Elevance Health

June 1, 2022 - December 1, 2023

Collaborated with business stakeholders and clinical teams to design scalable, cloud-based data solutions for enterprise healthcare analytics. Led cross-functional teams to architect, develop, and maintain end-to-end pipelines supporting predictive modeling, customer segmentation, and operational efficiency. Built and optimized Snowflake and Redshift data models on Azure and AWS, improving analytics query performance by 45% for key dashboards. Developed ETL and streaming data pipelines using Azure Data Factory, Databricks, Apache Spark, PySpark, Spark Streaming, Kafka, and Azure HDInsight; automated ML model retraining and orchestration; migrated legacy systems.

ETL Tester at OPTUM

February 1, 2021 - May 1, 2022

Prepared test plan, designed test cases based on business rules and BRD; validated source data from multiple databases using complex SQL; created traceability matrices; logged defects; collaborated with QA and development teams and offshore to improve processes; performed manual testing and UAT support; used Oracle SQL Developer.